Rename app.py to main.py

app.py

@@ -1,17 +0,0 @@
-import gradio as gr
-
-def generate_mutimodal(title, context, img):
-    return f"Title:{title}\nContext:{context}\n...{img}"
-
-server = gr.Interface(
-    fn=generate_mutimodal, 
-    inputs=[
-        gr.Textbox(lines=1, placeholder="请输入标题"),
-        gr.Textbox(lines=2, placeholder="请输入正文"),
-        gr.Image(shape=(200, 200),  label="请上传图片(可选)")
-    ], 
-    outputs="text"
-)
-
-server.launch()
-

main.py

@@ -0,0 +1,70 @@
+import gradio as gr 
+from predict import predict
+from toolbox import format_io, find_free_port
+
+try: from config_private import proxies, WEB_PORT, LLM_MODEL
+except: from config import proxies, WEB_PORT, LLM_MODEL
+
+# 对一些丧心病狂的实验性功能模块进行测试
+from functional_crazy import get_crazy_functionals, on_file_uploaded, on_report_generated
+crazy_functional = get_crazy_functionals()
+
+# 处理markdown文本格式的转变
+gr.Chatbot.postprocess = format_io
+
+# 做一些外观色彩上的调整
+from theme import adjust_theme
+set_theme = adjust_theme()
+
+with gr.Blocks(theme=set_theme, analytics_enabled=False) as demo:
+    gr.HTML(title_html)
+    with gr.Row():
+        with gr.Column(scale=2):
+            chatbot = gr.Chatbot()
+            chatbot.style(height=1000)
+            chatbot.style()
+            history = gr.State([])
+            TRUE = gr.State(True)
+            FALSE = gr.State(False)
+        with gr.Column(scale=1):
+            with gr.Row():
+                with gr.Column(scale=12):
+                    txt = gr.Textbox(show_label=False, placeholder="Input question here.").style(container=False)
+                with gr.Column(scale=1):
+                    submitBtn = gr.Button("提交", variant="primary")
+            with gr.Row():
+                from check_proxy import check_proxy
+                statusDisplay = gr.Markdown(f"Tip: 按Enter提交, 按Shift+Enter换行. \nNetwork: {check_proxy(proxies)}\nModel: {LLM_MODEL}")
+            with gr.Row():
+                for k in functional:
+                    variant = functional[k]["Color"] if "Color" in functional[k] else "secondary"
+                    functional[k]["Button"] = gr.Button(k, variant=variant)
+            with gr.Row():
+                gr.Markdown("以下部分实验性功能需从input框读取路径.")
+            with gr.Row():
+                for k in crazy_functional:
+                    variant = crazy_functional[k]["Color"] if "Color" in crazy_functional[k] else "secondary"
+                    crazy_functional[k]["Button"] = gr.Button(k, variant=variant)
+            with gr.Row():
+                gr.Markdown("上传本地文件供上面的实验性功能调用.")
+            with gr.Row():
+                file_upload = gr.Files(label='任何文件,但推荐上传压缩文件(zip, tar)', file_count="multiple")
+
+            systemPromptTxt = gr.Textbox(show_label=True, placeholder=f"System Prompt", label="System prompt", value=initial_prompt).style(container=True)
+            #inputs, top_p, temperature, top_k, repetition_penalty
+            with gr.Accordion("arguments", open=False):
+                top_p = gr.Slider(minimum=-0, maximum=1.0, value=1.0, step=0.01,interactive=True, label="Top-p (nucleus sampling)",)
+                temperature = gr.Slider(minimum=-0, maximum=5.0, value=1.0, step=0.01, interactive=True, label="Temperature",)
+
+    txt.submit(predict, [txt, top_p, temperature, chatbot, history, systemPromptTxt], [chatbot, history, statusDisplay])
+    submitBtn.click(predict, [txt, top_p, temperature, chatbot, history, systemPromptTxt], [chatbot, history, statusDisplay], show_progress=True)
+    for k in functional:
+        functional[k]["Button"].click(predict, 
+            [txt, top_p, temperature, chatbot, history, systemPromptTxt, TRUE, gr.State(k)], [chatbot, history, statusDisplay], show_progress=True)
+    file_upload.upload(on_file_uploaded, [file_upload, chatbot, txt], [chatbot, txt])
+    for k in crazy_functional:
+        click_handle = crazy_functional[k]["Button"].click(crazy_functional[k]["Function"], 
+            [txt, top_p, temperature, chatbot, history, systemPromptTxt, gr.State(PORT)], [chatbot, history, statusDisplay]
+        )
+        try: click_handle.then(on_report_generated, [file_upload, chatbot], [file_upload, chatbot])
+        except: pass