debug

app.py

@@ -1044,7 +1044,7 @@ def process_input(
             #img_linear if 'img_linear' in locals() else None,
             #structure_files if structure_files else []
         )
-
+"""
 iface = gr.Interface(
     fn=process_input,
     inputs=[
@@ -1068,7 +1068,7 @@ iface = gr.Interface(
         ),
     ],
     title="Peptide Structure Analyzer and Visualizer",
-    description="""
+    description='''
     Analyze and visualize peptide structures from SMILES notation:
     1. Validates if the input is a peptide structure
     2. Determines if the peptide is cyclic
@@ -1089,9 +1089,34 @@ iface = gr.Interface(
     ```
     CC(C)C[C@H]1C(=O)N(C)[C@@H](Cc2ccccc2)C(=O)NCC(=O)N[C@H](C(=O)N2CCCCC2)CC(=O)N(C)CC(=O)N[C@@H]([C@@H](C)O)C(=O)N(C)[C@@H](C)C(=O)N[C@@H](COC(C)(C)C)C(=O)N(C)[C@@H](Cc2ccccc2)C(=O)N1C
     ```
-    """,
+    ''',
     flagging_mode="never"
 )
 
 if __name__ == "__main__":
     iface.launch(share=True)
+"""
+from fastapi import FastAPI
+import gradio as gr
+
+# 1) Make a FastAPI with no OpenAPI/docs routes
+app = FastAPI(docs_url=None, redoc_url=None, openapi_url=None)
+
+# 2) Build your Interface as before
+iface = gr.Interface(
+    fn=process_input,
+    inputs=[ gr.Textbox(label="Enter SMILES string", lines=2) ],
+    outputs=[
+      gr.Textbox(label="Analysis Results", lines=10),
+      gr.Image(label="2D Structure with Annotations", type="pil"),
+    ],
+    title="Peptide Structure Analyzer and Visualizer",
+    flagging_mode="never"
+)
+
+# 3) Mount it at “/”
+app = gr.mount_gradio_app(app, iface, path="/")
+
+if __name__ == "__main__":
+    import uvicorn
+    uvicorn.run(app, host="0.0.0.0", port=7860)

requirements.txt

@@ -4,4 +4,5 @@ rdkit==2023.9.1
 Pillow==10.0.0
 matplotlib==3.7.1
 numpy>=1.24.3
-gradio-client==1.7.2
+gradio-client==1.7.2
+fastapi