markytools commited on
Commit
ba66a0a
·
1 Parent(s): 1e342f7

fixed python output code

Browse files
Files changed (1) hide show
  1. app.py +5 -0
app.py CHANGED
@@ -147,6 +147,7 @@ else:
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  if genre==radioButtonList[0]: # E-commerce CSV
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  # Initializing the agent
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  answer = llm.predict(f'''
 
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  I have CSV file contents below:
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  {str(csv_data)}
@@ -158,6 +159,7 @@ else:
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  elif genre==radioButtonList[1]: # Custom CSV Upload
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  # Initializing the agent
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  answer = llm.predict(f'''
 
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  I have CSV file contents below:
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  {str(csv_data)}
@@ -168,6 +170,7 @@ else:
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  elif genre==radioButtonList[2]: # Custom PDF Upload
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  pdf_answer = llm.predict(f'''
 
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  I have PDF file contents below:
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  {str(pdf_pages)}
@@ -179,6 +182,7 @@ else:
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  loader = WebBaseLoader(defaultGoogleURL)
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  web_data = loader.load()
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  answer = llm.predict(f'''
 
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  I have website contents below:
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  {str(web_data)}
@@ -191,6 +195,7 @@ else:
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  loader = WebBaseLoader(urlInput)
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  web_data = loader.load()
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  answer = llm.predict(f'''
 
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  I have website contents below:
195
 
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  {str(web_data)}
 
147
  if genre==radioButtonList[0]: # E-commerce CSV
148
  # Initializing the agent
149
  answer = llm.predict(f'''
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+ Do not reply with a python code.
151
  I have CSV file contents below:
152
 
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  {str(csv_data)}
 
159
  elif genre==radioButtonList[1]: # Custom CSV Upload
160
  # Initializing the agent
161
  answer = llm.predict(f'''
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+ Do not reply with a python code.
163
  I have CSV file contents below:
164
 
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  {str(csv_data)}
 
170
 
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  elif genre==radioButtonList[2]: # Custom PDF Upload
172
  pdf_answer = llm.predict(f'''
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+ Do not reply with a python code.
174
  I have PDF file contents below:
175
 
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  {str(pdf_pages)}
 
182
  loader = WebBaseLoader(defaultGoogleURL)
183
  web_data = loader.load()
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  answer = llm.predict(f'''
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+ Do not reply with a python code.
186
  I have website contents below:
187
 
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  {str(web_data)}
 
195
  loader = WebBaseLoader(urlInput)
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  web_data = loader.load()
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  answer = llm.predict(f'''
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+ Do not reply with a python code.
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  I have website contents below:
200
 
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  {str(web_data)}