chore: replace with requests

.vscode/launch.json

@@ -0,0 +1,13 @@
+{
+    "version": "0.2.0",
+    "configurations": [
+        {
+            "name": "Python Debugger: Current File",
+            "type": "debugpy",
+            "request": "launch",
+            "program": "${file}",
+            "console": "integratedTerminal",
+            "justMyCode": false
+        }
+    ]
+}

app.py

@@ -17,7 +17,7 @@ def process_jsonl_file(jsonl_file_path: str, api_key: str):
         json_data = [json.loads(line) for line in content]
 
         if api_key is not None and api_key != "":
-            json_data = evaluate(json_data)
+            json_data = evaluate(json_data, api_key)
 
         html_content = report(tasks=json_data)
 
@@ -41,6 +41,7 @@ with gr.Blocks() as demo:
 
     jsonl_input = gr.File(label="JSONLファイルをアップロード")
     api_key_input = gr.Textbox(label="APIキーを入力", type="password")
+    gr.Markdown("GeminiのAPIキーの発行は[こちら](https://aistudio.google.com/app/apikey)")
     process_button = gr.Button("実行")
 
     output_file = gr.File(label="セルフ評価レポート")

pyproject.toml

@@ -5,6 +5,6 @@ description = "Add your description here"
 readme = "README.md"
 requires-python = ">=3.13"
 dependencies = [
-    "google-generativeai>=0.8.3",
     "gradio>=5.7.1",
+    "requests>=2.32.3",
 ]

requirements.txt

@@ -1,3 +1,2 @@
 gradio>=5.7.1
-google-generativeai>=0.8.3
-huggingface_hub==0.25.2
+requests>=2.32.3

utils.py

@@ -1,7 +1,6 @@
 import json
 
-import google.generativeai as genai
-
+import requests
 
 PREREQUISITE_PROMPT = """\
 あなたは採点者です。
@@ -39,10 +38,10 @@ def evaluation_prompt(
 """
 
 
-def evaluate(results: list[dict], api_key=str, batch_size: int = 10) -> list[dict]:
-    genai.configure(api_key=api_key)
-
-    model = genai.GenerativeModel("gemini-1.5-pro-latest")
+# GradioからのGemini SDKを用いた通信がいつまでも終わらないため、REST APIを利用する
+def evaluate(results: list[dict], api_key: str, batch_size: int = 10) -> list[dict]:
+    url = f"https://generativelanguage.googleapis.com/v1beta/models/gemini-1.5-flash:generateContent?key={api_key}"
+    headers = {"Content-Type": "application/json"}
 
     evaluations = []
     for i in range(0, len(results), batch_size):
@@ -58,18 +57,34 @@ def evaluate(results: list[dict], api_key=str, batch_size: int = 10) -> list[dic
             for result in batch_results
         ]
 
-        response = model.generate_content(
-            [PREREQUISITE_PROMPT] + prompts,
-            generation_config=genai.GenerationConfig(
-                response_mime_type="application/json", response_schema=list[int]
-            ),
-        )
-        scores = json.loads(response.parts[0].text)
+        data = {
+            "contents": [{"parts": [{"text": "\n".join(prompts)}]}],
+            "generationConfig": {
+                "response_mime_type": "application/json",
+                "response_schema": {"type": "ARRAY", "items": {"type": "NUMBER"}},
+            },
+        }
+
+        response = requests.post(url, headers=headers, data=json.dumps(data))
+
+        if response.status_code == 200:
+            response_data = response.json()
+            # Parse the response_data to extract the scores
+            scores = json.loads(
+                response_data["candidates"][0]["content"]["parts"][0]["text"]
+            )
+        else:
+            raise Exception(
+                f"API request failed with status code {response.status_code}: {response.text}"
+            )
 
         for result, score in zip(batch_results, scores):
             evaluations.append(
                 {
-                    **result,
+                    "input": result["input"],
+                    "output": result["output"],
+                    "eval_aspect": result.get("eval_aspect"),
+                    "target": result.get("target"),
                     "score": score,
                 }
             )
@@ -137,7 +152,7 @@ def report(tasks: list[dict]) -> str:
     <div class="container" id="container"></div>
     <script>
         const messages = """
-        + str(tasks)
+        + json.dumps(tasks)
         + """;
 
         // taskId: number

uv.lock

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 version = "2024.8.30"
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@@ -465,14 +303,14 @@ name = "llm-exercise-report"
 version = "0.1.0"
 source = { virtual = "." }
 dependencies = [
-    { name = "google-generativeai" },
     { name = "gradio" },
+    { name = "requests" },
 ]
 
 [package.metadata]
 requires-dist = [
-    { name = "google-generativeai", specifier = ">=0.8.3" },
     { name = "gradio", specifier = ">=5.7.1" },
+    { name = "requests", specifier = ">=2.32.3" },
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