Update app.py
Browse files
app.py
CHANGED
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@@ -59,17 +59,17 @@ def engsum(output):
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out = query({
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"inputs": output,
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})
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if isinstance(out, list) and out[0].get("generated_text"):
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text_output = out[0]["generated_text"]
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-
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def bansum(text):
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def query(payload):
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response = requests.post(API_URL0, headers=headers0, json=payload)
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return response.json()
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out = query({"inputs": text})
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if isinstance(out, list) and out[0].get("generated_text"):
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text_output = out[0]["generated_text"]
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st.title("NLP APPLICATION")
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#@st.cache_resource(experimental_allow_widgets=True)
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@@ -106,11 +106,11 @@ def main():
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img = Image.open(uploaded_photo)
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img = img.save("img.png")
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img = cv2.imread("img.png")
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st.text("
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if st.button("
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text = pytesseract.image_to_string(img, lang="ben")
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bansum(text)
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if st.button("
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text=pytesseract.image_to_string(img)
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engsum(text)
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#st.success(text)
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@@ -119,11 +119,11 @@ def main():
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img = img.save("img.png")
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img = cv2.imread("img.png")
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#text = pytesseract.image_to_string(img) if st.checkbox("Bangla") else pytesseract.image_to_string(img, lang="ben")
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st.text("
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if st.button("
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text = pytesseract.image_to_string(img, lang="ben")
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bansum(text)
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if st.button("
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text=pytesseract.image_to_string(img)
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engsum(text)
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elif uploaded_photo==None and camera_photo==None:
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out = query({
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"inputs": output,
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})
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#if isinstance(out, list) and out[0].get("generated_text"):
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#text_output = out[0]["generated_text"]
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st.success(out)
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def bansum(text):
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def query(payload):
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response = requests.post(API_URL0, headers=headers0, json=payload)
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return response.json()
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out = query({"inputs": text})
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#if isinstance(out, list) and out[0].get("generated_text"):
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#text_output = out[0]["generated_text"]
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st.success(out)
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st.title("NLP APPLICATION")
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#@st.cache_resource(experimental_allow_widgets=True)
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img = Image.open(uploaded_photo)
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img = img.save("img.png")
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img = cv2.imread("img.png")
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st.text("Select the summarization type:")
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if st.button("Bangla"):
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text = pytesseract.image_to_string(img, lang="ben")
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bansum(text)
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if st.button("English"):
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text=pytesseract.image_to_string(img)
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engsum(text)
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#st.success(text)
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img = img.save("img.png")
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img = cv2.imread("img.png")
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#text = pytesseract.image_to_string(img) if st.checkbox("Bangla") else pytesseract.image_to_string(img, lang="ben")
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st.text("Select the summarization type:")
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if st.button("Bangla"):
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text = pytesseract.image_to_string(img, lang="ben")
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bansum(text)
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if st.button("English"):
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text=pytesseract.image_to_string(img)
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engsum(text)
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elif uploaded_photo==None and camera_photo==None:
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