Soumen commited on
Commit
37287e0
1 Parent(s): ea81524

Update app.py

Browse files
Files changed (1) hide show
  1. app.py +4 -4
app.py CHANGED
@@ -58,7 +58,7 @@ def engsum(output):
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  out = query({
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  "inputs": output,
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- "min_length":130
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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"]
@@ -67,7 +67,7 @@ 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, "min_length":130})
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  if isinstance(out, list) and out[0].get("summary_text"):
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  text_output = out[0]["summary_text"]
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  st.success(text_output)
@@ -93,10 +93,10 @@ def main():
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  tet = read_pdf(uploaded_photo)
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  #tet = pytesseract.image_to_string(img, lang="ben") if st.checkbox("Mark to see Bangla Image's Text") else pytesseract.image_to_string(img)
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  values = st.slider('Select a approximate number of lines to see and summarize',value=[0, len(tet)//(7*100)])
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- st.text("Select the text from you pdf")
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  text = tet[values[0]*7*10:values[1]*7*10] if values[0]!=len(tet)//(7*10) else tet[len(tet)//(7*100):]
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  st.success(text)
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- st.text("summarized text: ")
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  engsum(text)
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  if uploaded_photo and uploaded_photo.type !='application/pdf':
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  text=None
 
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  out = query({
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  "inputs": output,
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+ "min_length":300
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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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  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, "min_length":300})
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  if isinstance(out, list) and out[0].get("summary_text"):
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  text_output = out[0]["summary_text"]
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  st.success(text_output)
 
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  tet = read_pdf(uploaded_photo)
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  #tet = pytesseract.image_to_string(img, lang="ben") if st.checkbox("Mark to see Bangla Image's Text") else pytesseract.image_to_string(img)
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  values = st.slider('Select a approximate number of lines to see and summarize',value=[0, len(tet)//(7*100)])
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+ st.text("Selected text for summarize: ")
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  text = tet[values[0]*7*10:values[1]*7*10] if values[0]!=len(tet)//(7*10) else tet[len(tet)//(7*100):]
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  st.success(text)
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+ st.text("Summarized text: ")
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  engsum(text)
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  if uploaded_photo and uploaded_photo.type !='application/pdf':
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  text=None