Fix bug: deprecation warning and infinite loop

.gitignore

@@ -0,0 +1,6 @@
+# Ignore all __pycache__ directories
+__pycache__/
+/__pycache__
+# Ignore all .pyc files
+*.pyc
+flagged/

app.py

@@ -808,8 +808,8 @@ Use ChatGPT to summary the papers.Star our Github [🌟ChatPaper](https://github
 '''
 
 api_input = [
-    gradio.inputs.Textbox(label="请输入你的API-key(必填, 多个API-key请用英文逗号隔开)",
-                          default="",
+    gradio.Textbox(label="请输入你的API-key(必填, 多个API-key请用英文逗号隔开)",
+                          value="",
                           type='password')
 ]
 api_gui = gradio.Interface(fn=valid_apikey,
@@ -841,28 +841,28 @@ Use ChatGPT to summary the papers.Star our Github [🌟ChatPaper](https://github
 '''
 # 创建Gradio界面
 ip = [
-    gradio.inputs.Textbox(label="请输入你的API-key(必填, 多个API-key请用英文逗号隔开),不需要空格",
-                          default="",
+    gradio.Textbox(label="请输入你的API-key(必填, 多个API-key请用英文逗号隔开),不需要空格",
+                          value="",
                           type='password'),
-    gradio.inputs.Textbox(
+    gradio.Textbox(
         label="请输入论文大标题索引(用英文逗号隔开,必填)",
-        default=
+        value=
         "'Abstract,Introduction,Related Work,Background,Preliminary,Problem Formulation,Methods,Methodology,Method,Approach,Approaches,Materials and Methods,Experiment Settings,Experiment,Experimental Results,Evaluation,Experiments,Results,Findings,Data Analysis,Discussion,Results and Discussion,Conclusion,References'"
     ),
-    gradio.inputs.Radio(choices=["gpt-3.5-turbo", "gpt-3.5-turbo-0301"],
-                        default="gpt-3.5-turbo",
+    gradio.Radio(choices=["gpt-3.5-turbo", "gpt-3.5-turbo-0301"],
+                        value="gpt-3.5-turbo",
                         label="Select model"),
-    gradio.inputs.Slider(minimum=-0,
+    gradio.Slider(minimum=-0,
                          maximum=1.0,
-                         default=1.0,
+                         value=1.0,
                          step=0.05,
                          label="Top-p (nucleus sampling)"),
-    gradio.inputs.Slider(minimum=-0,
+    gradio.Slider(minimum=-0,
                          maximum=5.0,
-                         default=0.5,
+                         value=0.5,
                          step=0.5,
                          label="Temperature"),
-    gradio.inputs.File(label="请上传论文PDF(必填)")
+    gradio.File(label="请上传论文PDF(必填)")
 ]
 
 chatpaper_gui = gradio.Interface(fn=upload_pdf,

optimizeOpenAI.py

@@ -92,6 +92,9 @@ class chatPaper:
         full_conversation = ""
         for x in self.conversation[convo_id]:
             full_conversation = str(x["content"]) + "\n" + full_conversation
+        max_len_full_conversation = self.max_tokens - self.decrease_step
+        if len(ENCODER.encode(full_conversation)) > max_len_full_conversation:
+            full_conversation = full_conversation[:-max_len_full_conversation]
         while True:
             if (len(ENCODER.encode(full_conversation+query)) > self.max_tokens):
                 query = query[:self.decrease_step]
@@ -208,7 +211,7 @@ class chatPaper:
             input = input[self.decrease_step:]
         prompt = prompt.replace("{conversation}", input)
         self.reset(convo_id='conversationSummary')
-        response = self.ask(prompt,convo_id='conversationSummary')
+        response = self.ask(prompt,convo_id='conversationSummary')[0]
         while self.token_str(str(response))>self.max_tokens:
             response = response[:-self.decrease_step]
         self.reset(convo_id='conversationSummary',system_prompt='Summariaze our diaglog')

requirements.txt

@@ -1,7 +1,6 @@
 arxiv==1.4.3
 PyMuPDF==1.21.1
 requests==2.26.0
-tiktoken==0.2.0
 tenacity==8.2.2
 pybase64==1.2.3
 Pillow==9.4.0