inti

app.py

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+import gradio as gr
+import pandas as pd
+from openai import OpenAI
+import os
+
+PASSWORD = os.environ['PASSWORD']
+OPEN_AI_KEY = os.environ['OPEN_AI_KEY']
+
+def process_file(file_path, question):
+    client = OpenAI(api_key=OPEN_AI_KEY)
+    df = pd.read_csv(file_path) if file_path.endswith('.csv') else pd.read_excel(file_path)
+    df_string = df.to_string()
+
+    # 初始化對話
+    sys_content = f"你是一個專業的資料分析師，請解讀這份資料"
+    prompt = df_string + "\nQ: " + question
+    messages = [
+        {"role": "system", "content": sys_content},
+        {"role": "user", "content": prompt}
+    ]
+
+    print("=====messages=====")
+    print(messages)
+    print("=====messages=====")
+
+
+    request_payload = {
+        "model": "gpt-4-1106-preview",
+        "messages": messages,
+        "max_tokens": 2046,
+    }
+
+    response = client.chat.completions.create(**request_payload)
+    print(response)
+    
+    response_text = response.choices[0].message.content.strip()
+
+
+    return response_text
+
+iface = gr.Interface(
+    fn=process_file,
+    inputs=[gr.inputs.File(type='file'), gr.inputs.Textbox(label="Your Question")],
+    outputs="text"
+)
+
+iface.launch()

requirements.txt

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+gradio
+pandas
+openai >= 1.0.0