Update app.py
Browse files
app.py
CHANGED
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@@ -197,7 +197,7 @@ class Reviewer:
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generate_from_openai_chat_completion(
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client,
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messages=[messages],
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engine_name="gpt-
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max_tokens=1000, # 32
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requests_per_minute = 20,
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# response_format={"type":"json_object"},
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@@ -230,7 +230,7 @@ class Reviewer:
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generate_from_openai_chat_completion(
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client,
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messages=[messages],
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-
engine_name="gpt-
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max_tokens=1000, # 32
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requests_per_minute = 20,
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response_format={"type":"json_object"},
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@@ -271,7 +271,7 @@ class Reviewer:
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generate_from_openai_chat_completion(
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client,
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messages=messages,
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engine_name="gpt-
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max_tokens=1000,
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requests_per_minute=100,
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)
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@@ -402,7 +402,7 @@ Organize the result in JSON format as follows:
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generate_from_openai_chat_completion(
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client,
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messages=[messages],
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-
engine_name="gpt-
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max_tokens=1000, # 32
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requests_per_minute = 20,
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response_format={"type":"json_object"},
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@@ -526,7 +526,7 @@ Organize the result in JSON format as follows:
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generate_from_openai_chat_completion(
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client,
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messages=[messages],
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-
engine_name="gpt-
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max_tokens=1000, # 32
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requests_per_minute = 20,
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response_format={"type":"json_object"},
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@@ -598,9 +598,9 @@ inp = [gradio.Textbox(label="Enter your API-key",
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gradio.Radio(choices=["Methodology", "Experimental Design", "Result Analysis", "Literature Review"],
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value="Methodology",
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label="Select the aspect"),
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gradio.Dropdown(["gpt-
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label="Select the model name",
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value="gpt-
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gradio.Textbox(label="Enter the number of limitations to generate.",
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value="3"),
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gradio.Checkbox(label="Enable RAG", value=False),
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generate_from_openai_chat_completion(
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client,
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messages=[messages],
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engine_name="gpt-4.1-mini", # gpt-3.5-turbo
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max_tokens=1000, # 32
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requests_per_minute = 20,
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# response_format={"type":"json_object"},
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generate_from_openai_chat_completion(
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client,
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messages=[messages],
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engine_name="gpt-4.1-mini", # gpt-3.5-turbo
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max_tokens=1000, # 32
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requests_per_minute = 20,
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response_format={"type":"json_object"},
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generate_from_openai_chat_completion(
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client,
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messages=messages,
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engine_name="gpt-4.1-mini",
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max_tokens=1000,
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requests_per_minute=100,
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)
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generate_from_openai_chat_completion(
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client,
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messages=[messages],
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engine_name="gpt-4.1-mini", # gpt-3.5-turbo
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max_tokens=1000, # 32
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requests_per_minute = 20,
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response_format={"type":"json_object"},
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generate_from_openai_chat_completion(
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client,
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messages=[messages],
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+
engine_name="gpt-4.1-mini", # gpt-3.5-turbo
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max_tokens=1000, # 32
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requests_per_minute = 20,
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response_format={"type":"json_object"},
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gradio.Radio(choices=["Methodology", "Experimental Design", "Result Analysis", "Literature Review"],
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value="Methodology",
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label="Select the aspect"),
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gradio.Dropdown(["gpt-4.1-mini","gpt-4.1"],
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label="Select the model name",
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value="gpt-4.1"),
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gradio.Textbox(label="Enter the number of limitations to generate.",
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value="3"),
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gradio.Checkbox(label="Enable RAG", value=False),
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